Articles | Volume 10, issue 1
Solid Earth, 10, 193–210, 2019
https://doi.org/10.5194/se-10-193-2019
Solid Earth, 10, 193–210, 2019
https://doi.org/10.5194/se-10-193-2019

Research article 25 Jan 2019

Research article | 25 Jan 2019

Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization

Jeremie Giraud et al.

Data sets

Yerrida Basin Geophysical Modeling -- Input data and inverted models, Version version 1.0 J. Giraud, M. Lindsay, and V. Ogarko https://doi.org/10.5281/zenodo.1238216

Synthetic dataset for the testing of local conditioning of regularization function using geological uncertainty, Version version 1.0 J. Giraud, V. Ogarko, and V. Pakyuz-Charrier https://doi.org/10.5281/zenodo.1238529

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Short summary
We propose the quantitative integration of geology and geophysics in an algorithm integrating the probability of observation of rocks with gravity data to improve subsurface imaging. This allows geophysical modelling to adjust models preferentially in the least certain areas while honouring geological information and geophysical data. We validate our algorithm using an idealized case and apply it to the Yerrida Basin (Australia), where we can recover the geometry of buried greenstone belts.